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Fingerprint image enhancement using CNN Gabor-Type filters

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2 Author(s)
Saatci, E. ; South Bank Univ., London, UK ; Tavsanoglu, V.

Fingerprint images are usually worsened by various kinds of noise causing cracks, scratches and bridges in the ridges as well as ink blurs. These cause matching errors in fingerprint recognition. For effective recognition the correct ridge pattern is essential, requiring the enhancement of fingerprint images. A fingerprint pattern consists of ridges. Segment by segment analysis of the pattern yields various ridge directions and frequencies. By selecting a directional filter with correct filter parameters to match ridge features at each point, we can effectively enhance fingerprint ridges. This paper proposes fingerprint image enhancement based on CNN Gabor-type filters.

Published in:
Cellular Neural Networks and Their Applications, 2002. (CNNA 2002). Proceedings of the 2002 7th IEEE International Workshop on

Date of Conference: 22-24 Jul 2002

Page(s):
377 - 382
Print ISBN:
981-238-121-X
INSPEC Accession Number:
7492783
Digital Object Identifier :
10.1109/CNNA.2002.1035073
Product Type:
Conference Publications

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